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What Druckenmiller Style Investing Gets Wrong - Alfonso Pecatiello on Edge in Macro Trading

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What Druckenmiller Style Investing Gets Wrong - Alfonso Pecatiello on Edge in Macro Trading

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1727 segments

0:00

I do think that Draen Miller is one of

0:02

the best macro investors we've had.

0:03

Recification is overrated. Just go all

0:06

in on three things and then watch the

0:07

basket carefully. But does it mean watch

0:09

the basket carefully? If your choices

0:11

are wrong, you're going to blow up

0:12

anyway. You can hear from Drak Miller

0:14

and Soros about this, but you're not

0:15

going to hear from the thousands of

0:16

managers that were bankrupt trying

0:18

[music] the same approach. It's a lot

0:20

about survivorship bias as well.

0:21

>> You talked about that silver decline.

0:23

The entire [music] market moved in the

0:24

same direction.

0:25

>> If you have 40 to 50 big teams a year,

0:27

you have no idea which ones are going to

0:29

work. So you only know that you're going

0:30

to be right let's say 50% of the times

0:32

[music] if you have 12 themes but those

0:34

12 themes when you really look into them

0:36

they are pretty much two themes higher

0:37

interest rates and stronger equity

0:39

markets [music] then I'm sorry but you

0:41

don't have 12 trades you have two then

0:42

you end up in the Draen Miller thing of

0:44

basically put two or [music] three

0:45

themes and watch the basket carefully

0:47

Trump has been a very complicating

0:48

factor here the CAPM model for example

0:50

they will have an additional error term

0:52

which is the Trump error term is is

0:55

really a big and exogenous fall

0:58

injection variable in anything.

1:03

Hey, if you want to get access to these

1:04

podcasts 12 hours before they come out

1:07

on YouTube, subscribe to my Substack

1:09

below. I'll also be posting a monthly

1:11

reflection on the most interesting

1:13

insights shared by my guests so that you

1:15

and I can learn the most we can

1:17

together.

1:18

>> Al, thank you so much for doing this,

1:20

Ethan. It's a pleasure to be here. Avid

1:22

listener of basically each one of the

1:25

odds and open episodes. So very excited

1:27

to be on the other side of the seat this

1:29

time.

1:30

>> Amazing.

1:31

What is your single biggest source of

1:33

edge in macro trading?

1:36

>> I would say it's uh two things. The

1:39

first is deeply thinking about money,

1:42

money creation in general and the

1:45

monetary system. And the second one is

1:49

following a very strict process of

1:52

sizing position and managing upside and

1:55

downside risks. At the end of the day,

1:59

whoever has been ever successful in

2:02

micro investing that doesn't mean I am.

2:05

Future will tell us. But whoever has

2:07

been before me has almost ever applied a

2:11

few principles that I think are

2:13

evergreen when it comes to macro

2:14

investing. So it seems very easy on

2:16

paper right you just apply the process

2:18

and then there you go problem is

2:19

actually you have to apply it. So okay

2:22

so what are the common characteristics

2:24

that I also try common features I also

2:26

try to put on first one is every

2:30

directional fundamentalbased macro

2:32

investor like I am will be right

2:34

somewhere between 45 and 55% of the

2:37

times notice the band here because in

2:40

any given year you might be luckier a

2:43

bit less unlucky your models might work

2:45

better or worse but more or less let's

2:47

say 50% of the times

2:49

that's something people should reflect

2:51

If you're right 50% of the times, it

2:53

means you're wrong 50% of the times,

2:56

which is quite quite something to

2:58

really, you know, it it hits you

2:59

psychologically. You need to be able to

3:01

handle your losses in a way that is, in

3:03

my opinion, systematized. So

3:06

this is one angle. Okay. So once you

3:08

understand you're wrong 50% of the times

3:10

on average, then you need to work around

3:13

this problem. And then the second thing

3:16

I would say is um macro is very

3:19

complicated because you trade basically

3:22

three asset classes rates currencies and

3:24

equities. You trade three asset classes

3:27

across maybe 20 to 25 jurisdictions

3:30

depending of your mandate. But if you're

3:31

a global macro investor it's anything

3:33

from US, Europe and Japan big three

3:36

developed markets to emerging markets

3:38

somewhere around the world. So that's a

3:41

lot of things going on at the same time

3:43

and that means you have to be very

3:44

adaptive with your process. But there

3:46

are a few things that never change and

3:48

what never changes is how the monetary

3:50

system works because we have built it

3:52

ourselves. I mean the fiat system and

3:54

how we print money or destroy money is

3:58

always the same. Uh money gets created

4:00

in a certain way and destroyed in a

4:02

certain way. So that's what we have

4:04

chosen to use as a one of our principal

4:06

anchor to determine where future nominal

4:09

growth is going to be. And when you ask

4:11

me what's my edge, that's a very hard

4:13

question. But I would say thinking and

4:15

understanding deeply the monetary system

4:17

is something that we try our best hand

4:19

at.

4:21

How do you make sense of it all? I mean

4:23

as you mentioned macro investors, you're

4:25

trading three different asset classes

4:28

and depending on your mandate, you know,

4:30

tons of jurisdictions.

4:32

How do you make sense of the global

4:34

financial system when you know you're

4:37

one guy and you you know even with the

4:39

team there's so much happening at any

4:41

given one at any given moment what do

4:43

you do so

4:46

let's talk about the monetary part of

4:49

our idea generation I mean if you're a

4:51

macro investor you will probably

4:53

generate your ideas two ways the first

4:55

is the good old newspaper reading which

4:58

these days is Bloomberg headline reading

5:01

or whatever which basically really means

5:03

you listen to the game masters as my

5:06

mentor used to say which is politicians

5:08

and central bankers. So you try to

5:09

understand the reaction function. What

5:11

are they thinking? What are their

5:12

incentive schemes? This is fully

5:15

qualitative if you wish and that's still

5:17

a part of the idea generation. But what

5:19

you just said is very important because

5:22

if you're looking instead at

5:23

macroeconomic variables so business

5:25

cycles basically across 25 countries

5:29

hitting three asset classes that's a

5:30

lot. You need to standardize your

5:32

thinking. You need to build frameworks.

5:34

So we did we have many frameworks that

5:36

we use but one around monetary uh the

5:39

money creation or destruction I think is

5:40

very important and that's something I

5:42

would like to discuss. So

5:45

in my prior experience before uh the

5:48

research company and before uh founding

5:50

the hedge fund

5:52

I worked at a very large global bank and

5:56

one of the very useful things was you

5:58

are in the belly of the beast. can

6:00

basically you are the recipient of

6:02

quantitative easing, quantitative

6:03

tightening, uh bank reserves, uh TLTO

6:07

for Europe, you know, all these monetary

6:09

operations are basically you are the

6:11

recipient or you are in the very midst

6:13

of the action. So you can actually see

6:14

what happens if you pay attention, you

6:16

can actually see what happens. What I

6:18

realized back there is that banks what

6:21

is commonly known as liquidity, which is

6:24

nothing else that the bank reserves. So

6:26

the amount of money that commercial

6:27

banks deposit overnight at the central

6:30

bank those are called bank reserves and

6:32

often refer referred us to liquidity

6:35

they are merely a token they are money

6:38

for banks and banks only it's a closed

6:41

system so I can use the bank reserves to

6:43

park them back at the European Central

6:45

Bank or the Federal Reserve or I can use

6:46

reserves to make a transaction with

6:48

another bank which means I can lend them

6:50

money I can do a repo a reverse repo I

6:53

can buy bonds from them but only from

6:55

them and from no nobody else. So when I

6:58

was reading very popular theories back

7:01

in 2020 for example that uh or even

7:04

before for Europe oh uh QE is uh

7:07

printing money and money is leading

7:11

that's why assets are going up. I always

7:14

wondered what does it exactly mean

7:16

because the money we are printing in

7:17

that case is nothing else than bank

7:19

reserves. So the central bank creates

7:21

new bank reserves. They have the power

7:23

to do that unilaterally and then they

7:24

will go and they will buy bonds of the

7:27

private sector and they will replace

7:30

basically the banks that own these bonds

7:32

will find themselves with bank reserves

7:34

instead. So the balance sheet will

7:35

change for a bank. They will sell the

7:37

bonds to the central bank and instead

7:38

they will have more of this token money

7:40

this bank reserves.

7:43

What what would be the link between

7:45

those bank reserves and the S&P 500

7:47

going up? The common link would be

7:49

according to people that oh these

7:50

reserves can be recycled into the market

7:52

and as liquidity not very well specified

7:55

under which mechanism would go up then

7:57

the S&P would go up. There was no direct

8:00

connection. There is no there is no

8:02

direct pipe between the bank reserves

8:04

and the S&P 500. So I started wondering

8:08

okay what happens with this bank

8:09

reserves. So that's one form of money

8:11

and what really happens is that banks

8:13

become much more aggressive with each

8:15

other. you know, they start buying bonds

8:17

off each other. They start they try to

8:19

get rid of these reserves. They're

8:20

pretty much useless. So, they try to

8:23

lend them to other banks or use them as

8:25

collateral for repo transactions.

8:27

Basically, the base of the pyramid of

8:30

the financial markets, which is the bond

8:32

market and the repo market becomes more

8:34

liquid, becomes more fluid. Okay? And

8:36

what really happens is that the

8:37

volatility drops. Volatility drops. The

8:40

central bank achieves to calm down

8:42

things. But there was no correlation

8:44

between these bank reserves being

8:46

created and inflation,

8:49

asset prices, stock markets. There was

8:52

no direct correlation. So I started

8:54

thinking who actually prints the money

8:57

that people use? Who prints what I call

9:00

today the real economy money?

9:03

And then you come to the conclusion that

9:05

banks actually do print money. Not the

9:07

central bank, but the commercial bank

9:08

prints money. And a commercial bank

9:10

prints money every time they lend money

9:12

to the real economy. Because effectively

9:14

what what happens is you get a mortgage

9:17

from a bank to buy a house that you

9:19

don't have the money to buy otherwise.

9:21

But what what's really happening is that

9:22

the bank is lending you money and that

9:25

means your bank deposits are going up.

9:27

So that means you have more money than

9:28

you had before. With this money, you

9:30

will go and buy a house from a seller by

9:32

the way. So the seller of the house will

9:34

now find himself with more bank

9:35

deposits. If you look at the balance

9:37

sheet level, what has happened is that

9:38

the bank loan is effectively new money

9:41

that before didn't exist and you just

9:43

got this money to go and buy the asset.

9:46

So the seller of the house now has more

9:48

money than before. Right? So the balance

9:50

sheet of the entire private sector has

9:52

gone up. Bank deposits have increased

9:54

but also liabilities have increased.

9:56

Clearly there is a debt attached to this

9:57

but that we have created more money. We

10:00

have as an economy more spending power

10:02

than before if banks are lending more.

10:05

And then I said okay well but if people

10:07

have more money to spend this must have

10:10

a correlation with nominal growth right

10:12

I mean the more money in the system

10:13

spendable money the more nominal growth

10:15

will go up and then we found out that

10:17

that was indeed the case and the second

10:19

actor in creating money was not the

10:21

central bank but it was the government.

10:24

So you had commercial banks via lending

10:26

and then you had the government via

10:28

fiscal deficits. So this deficit word is

10:31

very interesting because already gives

10:33

the connotation of something bad. It's a

10:35

deficit, you know, but the reality is

10:37

that I call it fiscal net spending

10:40

because what it is is that the

10:41

government spends money in the real

10:42

economy every time they do a deficit.

10:44

They're basically blowing a hole in

10:46

their old balance sheet, the government

10:47

balance sheet, but they're giving money

10:50

to the private sector. They're cutting

10:51

your taxes. They're giving checks like

10:53

they did during the pandemic. They're

10:54

basically giving new spendable money to

10:57

the private sector. So we started

10:59

looking into it and we said what if we

11:01

start tracking this real economy money

11:04

as a function of bank lending and

11:06

government deficits. And we basically

11:08

track this money creation and we try to

11:10

figure out whether it has any leading uh

11:14

tangible statistically significant

11:16

impact on nominal growth and eventually

11:18

asset prices.

11:20

And it does it does across jurisdictions

11:23

around the world because that's how the

11:25

monetary system works. There is no

11:27

really there is no difference between no

11:30

major difference between how money is

11:32

created between economies. Yes, you

11:33

might say in Europe it's it's more bank

11:35

lending driven for example in the US is

11:38

more government deficit driven. Yes, you

11:40

can say that for sure but at the end of

11:42

the day the total money creation you can

11:44

still track it. And then we realized

11:45

that it was more about the second

11:47

derivative than it was about the rate of

11:49

change because the fiat system is

11:51

designed around creating new debt and

11:54

creating new money. I mean governments

11:56

are basically on endless deficit

11:58

spending around the world now for like

11:59

maybe 15 to 20 years since the great

12:02

financial crisis. Government uh sorry uh

12:04

bank lending goes up. I mean total bank

12:07

assets and total bank liabilities go up

12:09

over time. So that means there is more

12:10

money getting created more credit for

12:12

the real economy over time. We have we

12:15

work on a fiat system where basically

12:16

there is no limit to the amount of fiat

12:19

money we can create. The limit is

12:21

inflation obviously but there is no hard

12:23

limit like there was during the gold

12:25

standard. There was a convertability

12:27

issue back then but now there is no

12:28

convertability issue really. I mean you

12:30

can print as much fiat money as you

12:31

want. Inflation will be the problem. Um

12:34

but what really matters is the second

12:36

derivative. So you can really see the

12:39

acceleration and deceleration or of this

12:41

real economy money printing not QE not

12:44

QT not bank reserves real economy money

12:46

creation. And that is a very interesting

12:49

driver of nominal growth and asset

12:51

prices.

12:52

>> Concluded from what you said is that the

12:54

real econ the second derivative of

12:57

studying the real economy money printing

13:01

is

13:03

a core part of your edge and how you

13:05

find opportunity in investing. Um

13:10

>> yes

13:12

>> give so once you've found those

13:14

opportunities how do you size the bets?

13:16

How do you position yourself so that the

13:18

entire portfolio will do well and make

13:21

sure that you're not too concentrated in

13:22

one bet in Europe versus the US versus

13:25

Japan? Would love to hear it.

13:28

I love this question. So Ethan, um I'm

13:31

going to say something a bit unpopular

13:33

here. I do think that Draen Miller is

13:36

one of the best macro investors we've

13:37

had, but I think there is a selection

13:39

bias and a survivorship bias when he

13:42

says certain things. things like

13:44

diversification is overrated. Just go

13:46

all in on three things and then watch

13:48

the basket carefully. What does it mean

13:50

watch the basket carefully? I mean, if

13:53

your choices are wrong, you're going to

13:54

blow up anyway. So, I do think that he

13:57

has an incredible knack for seeing

13:59

trends early and being concentrated and

14:01

big. But frankly, you can hear from

14:03

Draim Miller and Soros about this, but

14:05

you you're not going to hear from the

14:06

thousands of managers that were bankrupt

14:09

trying the same approach. So it's it's a

14:11

lot about survivorship bias as well. Um

14:14

so we try to do something very

14:16

different. And

14:19

for me if you are a long-term oriented

14:22

macro investor you're going to have 40

14:24

to 50 ideas a year something like this

14:26

spanning across 20 different countries.

14:28

You will have thematic ideas macro cycle

14:31

ideas.

14:32

But if you have 40 to 50 big teams a

14:35

year you have no idea which ones are

14:38

going to work exante. you just don't

14:39

know. So you only know that you're going

14:41

to be right let's say 50% of the times.

14:44

So what you really want to achieve is to

14:46

have 40 to 50 diversified themes in your

14:50

portfolio all sized in an equal way. So

14:54

what does it mean equal way? Equal way

14:56

means that all the teams should account

14:58

in principle for the same amount of

15:00

risk, the same amount of variability of

15:02

your P&L and they should have the same

15:04

amount of uh let's say magnitude in your

15:07

losses. Okay. So whether you are wrong

15:09

on some big call on the US macro or on

15:13

Japan or on Brazilian elections or

15:15

Hungarian elections,

15:18

it should somehow be a standardized

15:21

amount of units of risk that you put at

15:23

play there. And it's a bit of a

15:25

something that is also called risk

15:26

parity approach where effectively you

15:28

try to look at the volatility of the

15:29

asset class. You try to say okay look if

15:32

I am buying something that is very

15:34

volatile of course I'm going to put less

15:35

notion on it risk here because I know

15:37

that if I'm wrong this thing can go down

15:39

30 or 40% and therefore it's going to

15:41

detract from my performance according to

15:43

it volatility. So you standardize the

15:46

sizing of the position based on the

15:47

volatility of the asset class. Your stop

15:50

losses will be also commensurate to the

15:52

volatility of the asset class and

15:54

effectively you will end up with at any

15:55

point in time in your portfolio 10 12

15:58

teams at the same time. Maybe those

15:59

teams should absolutely be diversified

16:02

and that's a diff another topic we

16:03

should talk about. How do you ensure

16:05

that those teams are really diversified

16:07

but at least each single team should be

16:10

should account for the same amount of

16:11

risk and potential loss to your uh

16:14

portfolio. Then there is the

16:16

diversification problem. Let's say that

16:18

you have come up with a system that

16:20

sizes those trades based on V and puts a

16:22

stop loss at an equally distant standard

16:24

deviation event from depending on the

16:26

underlying asset.

16:29

Then if you have 12 teams, Ethan, but

16:31

those 12s when you really look into

16:33

them, they are pretty much two themes. I

16:35

mean the main driver of these 12 trades

16:38

is two things. Let's say higher interest

16:40

rates and stronger equity markets. Then

16:43

I'm sorry, but you don't have 12 trades,

16:44

you have two. and those two tra then you

16:46

end up in the Draen Miller thing of

16:48

basically put two or three themes and

16:50

watch the basket carefully right and

16:52

ideally you want to have a bigger degree

16:55

of diversification. So there are some

16:58

standard techniques for example you can

17:00

use a variance coariance matrix or a bar

17:02

on your portfolio. I find those

17:04

techniques to be okay but a bit tricky.

17:07

The first problem is that if you have

17:09

like a variance coariance matrix or a

17:10

bar, I mean the this these um techniques

17:14

tend to look at the average correlation

17:17

between your uh your your trades in your

17:20

portfolio. Problem is that in macro, as

17:24

long as it's average, it's actually

17:26

pretty fine. The problem is that when

17:27

it's not average, for example, take

17:29

Friday. We're recording on what was it?

17:31

Beginning of February and the last

17:33

trading day of January, we had a 32%

17:35

decline in silver. I'm sorry. There's

17:37

nothing average about that, right? So,

17:40

it's those two, three, five plus

17:44

standard deviation events in a day will

17:47

really reveal whether your portfolio

17:48

have a common denominator or not or

17:52

whether your trades are really

17:54

idiosyncratic expression of a single

17:56

vector of risk. And you need to run some

17:59

stress tests here. You need to look

18:01

really into the tails and say when there

18:03

is a destabilization when the S&P 500 is

18:05

drawing down two standard deviation when

18:07

the correlations across major asset

18:09

classes are going up and everything

18:11

trades the same way when I look at

18:13

periods like this in the past do I have

18:16

12 trades or do I have two trades in my

18:18

portfolio because everything starts to

18:20

behave the same way. So this is this is

18:22

very important because otherwise you end

18:24

up being very concentrated

18:25

>> 100%. I mean, you talked about that

18:28

silver decline. Um, the entire market

18:31

and all the asset classes moved in the

18:33

same same direction. Um, and now I find

18:37

it very interesting what you've said

18:39

about trying to have those 12

18:40

independent bets and making sure that

18:43

you're not just betting on two themes.

18:46

Um,

18:47

how did can you walk me through the

18:49

mechanism of how you went from 50 to 12

18:53

when you're in your idea generation? I

18:54

guess I guess I guess a better way to

18:56

frame it is when you're in your idea

18:58

generation process, how are you making

19:00

sure that you have 12 truly independent

19:03

bets, right? What does that mechanism

19:06

look like?

19:07

>> So when I said 50, I meant in a year of

19:10

course at any given snapshot of time,

19:12

you might have 10 or 12 in the portfolio

19:14

because some trades will lose money.

19:16

Remember 50% of the times you're wrong.

19:17

So you will be stopped out at some point

19:19

out of a trade and then hopefully you

19:21

will have a new idea that you add,

19:22

right? So it's 40 15 a year and on an

19:25

rolling basis you will have about 10 to

19:27

15 in your portfolio roughly. So how do

19:30

you shrink your universe? Well first of

19:32

all it's the correlation itself that

19:34

will shrink your universe because you

19:36

might have a lot of ideas Ethan but I

19:38

guarantee that when you really dig deep

19:40

into your tail risk uh correlation you

19:44

will find out that they're basically the

19:46

same driver. So it is already quite hard

19:49

to really have 10 to 12 ideas that have

19:52

nothing to do with each other. Uh it is

19:54

really really hard because often one

19:57

trade will be a derivative of a main

20:00

macro factor that you already have in

20:02

your portfolio. So trust me that is not

20:04

very hard to shrink it down to 10 or 12.

20:06

It's actually hard to get to 10 or 12.

20:08

Often you will have like three, four,

20:09

five different themes in your book and

20:11

then you have an idea and you look it up

20:13

and it's like ah well making you an

20:16

example like uh three four years ago no

20:18

maybe longer there used to be this very

20:21

tight correlation between um the yen and

20:25

global bond yields. So effectively when

20:28

global bond yields came down then the

20:30

yen went up as well. uh yen was seen as

20:32

a safe haven bond proxy currency

20:35

and then there were situations and you

20:37

you would look at your book you would be

20:38

long bonds and they say oh I really like

20:40

the yen yeah it's basically the same

20:43

trade okay and it it could be very far

20:46

away geographically you could be long

20:48

boonds in Germany and then say I like

20:50

the yen but then when you stress test

20:52

the correlations actually it's pretty

20:54

much the same thing these days not

20:55

anymore but back then it was like gold

20:58

and real interest rates for example you

21:00

have cert certain things that were very

21:02

correlated and today you will still find

21:05

macro factors that drive a lot of

21:07

tangential ideas. So that is not very

21:10

hard to do to shrink your universe back

21:11

down to 10 or 12 ideas. Actually it's

21:13

hard to get to 10 idiosyncratic

21:15

independent ideas

21:16

>> 100%. Actually now I'm thinking about

21:18

let's say the AI theme and every all the

21:21

bets implicit in that. I mean, you can

21:23

make the energy bet, which is still kind

21:25

of like a data center bet, which is a

21:27

bet that the that the LLMs are going to

21:29

get better and that more money is going

21:31

to plow into spend for compute. And, you

21:35

know, I can I can imagine that pretty

21:37

quickly, I mean, I'm thinking right now,

21:38

pretty quickly, um, all your bets kind

21:41

of converge onto one theme, and you

21:44

don't want that to happen. Um,

21:46

>> yeah.

21:47

>> How do you think about risk, you know,

21:49

for for for all these different bets,

21:51

right? Hopefully they're truly

21:52

independent. But let's say given that,

21:55

right? I know you size based on

21:56

volatility, but what do you do when

21:59

there are those truly call them black

22:02

swan events that no one really saw

22:05

coming? How do you deal with those

22:07

situations?

22:09

Okay, so this is a very good question. I

22:11

would say

22:13

so we talked we talked about

22:15

standardizing at the single trade level.

22:17

We're talking about making sure your

22:18

portfolio is robust. So you're running

22:20

as much as you can idiosyncratic vectors

22:23

of risk in your portfolio also in the

22:26

tales by the way and also in tail

22:28

events.

22:29

We talked about stop- losses to make

22:31

sure that each trade doesn't lose more

22:32

than XYZ% of your assets. And now you're

22:36

asking what happens if your stress test

22:38

back test whatever goes wrong. Yeah,

22:41

which will happen. And then ultimately

22:43

you have a an event something that just

22:46

punches you in the face very hard. So

22:48

what do you do then? Um

22:52

so I would say that the the most uh

22:56

immediate answer is you use a handbrake.

22:58

Like you're driving a car, your standard

23:01

uh pedal brake doesn't work. You

23:03

actually will go to your emergency

23:04

brake, right? Your handbrake and you

23:05

will just use the handbrake. What is the

23:07

handbrake? You have to reduce risk. I

23:10

look I learned very early in my career

23:12

that buying out of the money hedges

23:16

proxy you know for example you're long I

23:19

don't know the euro in big big size and

23:22

then to hedge this you're going to short

23:25

I don't know a proxy currenis whatever

23:28

for just giving you an example right or

23:30

you're going to buy puts on the Swiss

23:31

Frank or something like this man like

23:34

this proxy hedging proxy trading it's

23:36

it's very very risky because you're

23:38

counting on some correlations to to

23:40

really be there when you need them to be

23:43

and sometimes they won't. And so

23:45

ultimately you not only didn't hedge

23:46

your underlying exposure, you ended up

23:48

adding an additional wasting additional

23:50

premium some something else for an

23:51

option. Or as my initial mentor always

23:53

told me, if there is too much risk that

23:56

is either hitting you in the face or

23:58

your models are saying you're running

23:59

too much risk, just cut the risk. Just

24:02

cut the risk. And so what that means is

24:05

you're going to use a manual handbre

24:07

which is you're going to reduce your

24:08

positions. So there will be certain

24:11

thresholds when it comes to drawdowns uh

24:14

that you have to respect and you will

24:15

have to say look my models were not or

24:18

predicting this is a very low

24:19

probability scenario but it's happening.

24:22

We are not running model money. we're

24:24

running the you know actual dollar P&L

24:27

and if the dollar P&L moves in a certain

24:29

way then ultimately you will have to um

24:34

use the emergency break which means you

24:36

will reduce your positions you will

24:37

reduce your realized V and it's also

24:40

very important I think for people that

24:42

manage money to understand the power of

24:45

negative compounding a lot of people

24:47

talk about upside compounding which is

24:49

very powerful but the mathematic is very

24:52

simple if you have a $100

24:54

and you have a 10% draw down, you go to

24:56

$90. The amount of percentage return you

24:58

need to make to get back to $100 is not

25:01

10%. It's more because 10% of 90 is

25:03

nine. So you go back only to 99. And the

25:06

math gets worse and worse the bigger

25:07

your draw downs are. So it's seriously

25:10

it's imperative to avoid drawowns

25:12

especially if those drawdowns are coming

25:14

from uh exogenous events uh black swan

25:18

as you call them. Um

25:20

Trump has been a very complicating

25:22

factor here because effectively what he

25:24

has done we say he the future university

25:28

models of uh the CAPM model for example

25:30

they will have an additional error term

25:32

which is the Trump error term I mean

25:34

[laughter]

25:36

is is really a big and exogenous vault

25:40

injection variable in anything it's very

25:43

very hard to model I mean frankly like

25:45

especially when he when he started in

25:47

2025 with the tariffs, etc. There was no

25:52

um historical reference for a period

25:54

like this, right? So, this is a good

25:56

example, Ethan, for what do you do?

25:58

Well, I'm sorry. If you're losing X

25:59

amount of money, then you're going to

26:00

have to use the emergency handbreak.

26:02

Even if your model didn't see it

26:03

happening, it doesn't matter because the

26:05

mathematic of recovering from draw downs

26:07

is is is quite bad. I mean, yeah,

26:10

Liberation Day, like he's he announces

26:13

everything. Um, over the weekend, radio

26:16

silence, you see the articles that

26:17

everyone's trying to call Trump, right?

26:20

And and so, I mean, I think a lot of

26:23

people were convinced he was going to

26:25

rewire the entire global financial

26:28

system that weekend and then it bounced

26:31

back and then there's volatility a bit

26:33

later, but it was truly truly a wild

26:36

time. Um, and yeah, I mean what you say

26:39

about managing risk and

26:42

not adding on those proxy bets, um, and

26:45

that those proxy bets can be can

26:48

actually increase your actual risk

26:50

exposure. Um, I agree and

26:54

I guess I'd like to hear your thoughts

26:56

on the

26:58

quantitative models for say fundamental

27:02

risk management. So, I want to hear your

27:05

philosophy on, let's say, the pod shops

27:08

and the way they manage their factor

27:10

exposures, right? Because I hear mixed

27:12

views on things like these. I recently

27:14

had David our on my podcast and he was

27:17

saying that he thinks it's a load of

27:19

like it he thinks I mean partially true,

27:21

but mostly a load of crap. Um I've had

27:24

um uh you know PM exMs from the big

27:29

multi-managers and they say that you're

27:32

held to the risk model and in private

27:33

conversations they say that that in only

27:38

focusing on the idio that's what you

27:40

have skill in predicting. I also talked

27:42

to hedge fund managers who think that's

27:43

a load of nonsense. What are your

27:45

thoughts?

27:47

>> Well I need to understand exactly uh

27:49

what the question is because this is a

27:51

very delicate topic Ethan. So

27:53

>> sure go. So

27:54

>> what's the question exactly?

27:55

>> Okay. Specifically, what do you think

27:58

about enforcing a factor neutral mandate

28:03

for risk management?

28:05

>> I'm on the record, but I am uh one of

28:09

the very strange and transparent people

28:12

in this business. So I'm going to join

28:14

the load of crap um wagon here. Um I

28:18

mean look

28:20

um

28:22

first of all for a micro uh manager in

28:24

general it's

28:26

not particularly relevant I would say I

28:28

mean the first important rule that

28:31

actually you should try to preserve is

28:34

to avoid downside equity beta and

28:38

something that what it means is that

28:39

when the S&P 500 is drawing down a lot

28:41

then you shouldn't draw down a lot too

28:43

okay because otherwise the allocator

28:45

that is allocating to a diversifying ing

28:47

strategy doesn't want you to have a draw

28:48

down simultaneously with the S&P 500 and

28:51

I would say that's a very fair demand

28:53

from from an allocator and indeed that's

28:57

the case but when it comes to a micro

28:59

fund I mean this factor mutual thing is

29:00

is it does doesn't make any sense

29:02

actually I would say the job of a macro

29:04

manager should be to somehow have uh

29:08

skills in uh identifying when a specific

29:12

macro factor can be the value factor it

29:15

can be the bond market factor It can be

29:17

carry, it can be I don't know equity

29:19

beta on the upside. It can be anything

29:21

really. Uh but to time it well. I would

29:24

say time it well, ride it in a

29:26

diversified way. I think this is one of

29:28

the main skills of a macro manager. Now

29:32

if you run an equity long short

29:34

strategy, okay, then I think things are

29:38

a little bit different and there is a

29:41

recent article from the Financial Times

29:42

that shows that the rolling correlation

29:45

of equity long short uh managers to uh

29:48

the S&P 500 is very high. Now obviously

29:52

if you're an allocator, you don't want

29:53

that, right? I mean ideally because

29:55

factors these days are so commoditized

29:58

and so easy to access you would also

30:00

like this person not to just be a

30:02

momentum chaser you can just buy the

30:04

momo whatever it's called

30:07

mtum momentum media I mean you can just

30:09

basically buy this proxy for factor for

30:12

very cheap yourself so you don't want a

30:14

manager to be able to do to just do that

30:16

right as a as a one-trick pony so I

30:19

think for an equity long short it's

30:20

harder because equity factors are very

30:23

popularized very very popularized uh

30:26

instead

30:27

>> try to look for a diversified

30:30

really diversified carry global carry

30:33

factor so that does carry across

30:35

interest rates commodities effects

30:37

whatever other type of carry you have in

30:39

mind it's actually pretty hard to find

30:42

in an ETF format so the problem is that

30:44

equity long short people can easily

30:47

access factors that are very easy to

30:48

replicate so I understand from a certain

30:50

perspective an allocator that says look

30:52

I also don't want that but then it

30:54

becomes some sort of a religion to be

30:56

honest and for the same reason a

30:59

micromanager

31:01

should be rewarded for being able to

31:04

identify when a specific macro factor is

31:06

particularly cheap or expensive. I also

31:09

might extend this saying that an equity

31:12

longshot manager should not be fully

31:14

forbidden from taking a specific uh

31:19

equity factor view. I mean if it's a

31:23

one trick pony then it's a problem I

31:25

would say because you can easily

31:26

replicate that factor with very cheap

31:28

fees but I think we are a bit

31:31

exaggerating I think the multi manager

31:33

world has popularized this factor beta

31:35

fully like fully factor neutral version

31:38

a bit too much and I think at the end of

31:41

the day if a manager has a clear process

31:45

to tell you how it identifies

31:48

cheap or expensive factors and it tries

31:51

to write them. I think there is nothing

31:52

organically bad about that.

31:55

>> And so

31:57

for macro investors, you've said that um

32:01

it's about like you are like you were

32:03

literally paid to to ride those trends,

32:06

right? um to ride those those those

32:10

global factors um in the way in a way

32:12

where those

32:15

in in a way where allocators can't

32:17

exactly access that um in an ETF form. I

32:22

guess I'd like to hear about what it was

32:24

like in the early days raising money

32:26

from allocators, you know.

32:28

>> Um I would say this is a very

32:30

interesting process. You will never be

32:33

prepared for it. Uh you can read as much

32:36

as you want but it's a a lifetime

32:38

experience

32:39

that I recommend people don't take on.

32:42

No, I'm just joking. It's very very

32:43

intense. It's very very intense. So the

32:46

amount of preparation necessary is

32:48

large. Uh the amount of regulatory

32:52

uh things to check is also very large.

32:56

Um I would say first of all you need a

32:58

team. You can't do this alone. Uh second

33:00

thing is

33:02

investors

33:04

that are able to uh really participate

33:09

in what I call day zero investments. So

33:13

that means you open the door and you

33:14

have an investment in from a specific

33:16

investor is very very low at an

33:18

institutional uh level and I mean I mean

33:21

large tickets or seeding tickets as

33:23

they're called. The amount of investors

33:26

and allocators that have that capacity

33:28

is very low. uh they always need you to

33:30

be live for a few months and be sure

33:32

that on the infrastructure it all works.

33:34

You know they basically they call

33:35

themselves day one investors. The

33:37

reality is that they are day 180 day60

33:40

type of investors. The usual model is

33:44

something called u GP GP stakes model or

33:47

seeding model that I don't like. Uh the

33:50

model is basically paytoplay. uh not

33:54

only you give me cheap fees which is

33:55

completely fine uh for initial investors

33:58

but I as the allocator will take uh

34:01

stake in your management company. So I

34:04

will forever or almost forever be

34:06

entitled to a portion of your management

34:08

fees and performance fees on every other

34:10

asset you will accumulate when you're

34:12

successful. So basically you become some

34:14

sort of a venture capital investor,

34:16

right? Like a series A type of of

34:18

investor and you also somehow undermine

34:21

the independence of the manager because

34:22

you effectively have a voting uh right.

34:24

I mean you're you're you're an equity

34:26

shareholder of the management company.

34:28

So that is the most easy way to get

34:32

started. It's not easy anyway. It's very

34:34

hard but it's still one way to get

34:36

started. The other way is um yeah,

34:40

you're a spin-off from a multi-manager

34:42

and then everything is much easier

34:43

because you know probably the multi

34:45

manager will back you in the first place

34:47

right at that point because if you're

34:48

spinning out from them it means you

34:50

haven't been fired which means that you

34:51

have made a decent amount of

34:52

riskadjusted money so that means they

34:54

have an interest in in sitting you

34:55

anyway. Um and then there is the third

34:59

route which is much longer and much more

35:00

complicated which is you share your

35:03

framework, you share your investment

35:05

process. um with people um you do it for

35:10

free, you do it for a long time and then

35:13

people get accustomed with how you think

35:17

about risk management and you think

35:18

about investment opportunities

35:21

and that is what I went through. I have

35:24

to say this is not something that you

35:26

can say okay I'm just going to go like

35:29

this let me see what are the what are

35:32

the the let's say the prior examples

35:34

okay because the the prior examples of

35:36

this would be Ray Dalio in the 1970s I

35:39

mean what he did he had a research

35:41

company was showing his way of

35:43

understanding the world and thinking

35:44

about trades to a bunch of investors on

35:46

a research basis and then somebody

35:48

seated him with the equivalent I think

35:50

of $5 million non-inflation adjusted so

35:52

today will be probably 20 or $30 million

35:54

and then Bridgewater got started.

35:57

It's not very often that you'll find

36:00

that by sharing your investment process

36:02

you become visible enough online um or

36:06

through various you know LinkedIn or

36:08

whatever so that you can attract such an

36:10

audience that ultimately will perhaps

36:13

look into your ideas and decide to

36:15

invest as they zero investors. It is

36:17

very very hard Ethan that's what I went

36:19

through and we we managed h but it's a

36:24

process that

36:26

requires a lot of time requires

36:29

the understanding you can fail it's

36:31

actually very likely you will fail

36:33

especially if you don't accept uh seed

36:35

money with the GP stakes attached to it

36:37

it's very likely that you will fail

36:40

uh the other model uh which is the

36:41

fourth one is to run your own strategy

36:43

in a transparent way maybe let's say on

36:46

Interactive Brokers on something that

36:48

could be audited, could be audited, and

36:51

then run it for at least three years

36:52

with a decent amount of capital. Let's

36:53

say a couple of million minimum, and

36:56

then run your strategy, and then uh

36:58

hopefully be able to convince some early

37:00

investor that your strategy can be

37:02

replicated at much larger scale and that

37:05

you are also not only a PM, but that you

37:08

are a business builder. Because the real

37:10

problem with um funds in general is that

37:14

one thing is to run the portfolio. The

37:15

other thing is to run the business. The

37:17

amount of things that are necessary,

37:19

this is a very mature big business

37:20

you're talking about here. You have

37:22

operations, you have hiring, you have

37:23

people to manage, um regulatory u setups

37:27

to manage, uh operations, prime broker,

37:30

settlements, I mean this is a huge

37:32

business. And then you have the uh

37:34

capital part. I mean what capital are

37:36

you going to accept from whom? who goes

37:38

into a specific share class and when do

37:40

you close your fund what is the capacity

37:42

also strategic thinking around your your

37:44

business sales sales namely who talks to

37:48

the investors people that are interested

37:50

in your fund and who talks to them uh

37:52

who manages the investor relation cycle

37:55

I mean this is a huge business and you

37:57

have to have a business acumen you can't

37:59

just be a portfolio manager that wants

38:01

to have a fund that's not going to work

38:03

if you're a portfolio manager you're

38:04

better off going to multi manager to be

38:06

honest because the business side of

38:08

things is huge. It's absolutely huge.

38:11

>> What was the biggest shock or biggest

38:14

surprise to you when starting Palinura?

38:18

>> Biggest surprise was

38:21

um

38:26

I would say the

38:29

I underestimated the amount of u

38:32

procedural things that were needed. I

38:34

mean it somebody tried to warn me before

38:36

and say look I mean if you're starting a

38:37

fund then this and this and this and

38:39

this and this will be necessary and it

38:40

was a long list of this so the points

38:42

were very long but nevertheless you tend

38:45

to underestimate the uh the launch

38:48

period I mean I I I hear sometimes

38:52

friends you know some people reach out

38:53

and they say oh I'd like to launch and

38:56

you know I'll take a three months launch

38:58

period what it's never going to work

39:00

like anything less than a year it's

39:02

absolutely uh ridiculous unless Unless

39:04

you really have again if you have a GP

39:06

stakes then uh cedar then probably they

39:09

will also have contacts and then

39:11

therefore a lot of this will be

39:12

facilitated but if you're really

39:14

starting from scratch and you own 100%

39:17

of the management company and you don't

39:19

have any external amazing cedar or GP

39:22

stakes deal then less than a year is

39:25

absolutely unthinkable to be honest

39:28

>> in our preall you know you were telling

39:30

me that you liked the episode that I had

39:33

released with Claudia uh Contella

39:36

>> um where she talked extensively about

39:38

how the business building side is a

39:41

different beast to just running your own

39:44

money or running money at a fund as a

39:46

PM.

39:49

Um

39:51

and you know I can't imagine how hard it

39:53

must be to do that solo. Yeah.

39:55

>> How big is your team by the way

39:57

>> for doing that?

39:59

Um at the moment it's four or going to

40:03

be five at some point but it's look I

40:07

mean the business side of things it's

40:10

when you're when you are uh what they

40:13

call these days an emerging manager

40:15

that's the terminology.

40:18

The investor relation cycle is extremely

40:21

long and it's correctly so because what

40:23

happens is that people will find out

40:25

somehow about you maybe the prime broker

40:28

maybe they will find out in another way

40:30

and then they uh you know will want to

40:32

start a conversation. You will have

40:34

about maybe 10 to 15 touch points

40:37

minimum 10 to 15 touch points until

40:39

you're able to even remotely imagine

40:42

them being an investor. And this is not

40:44

because you know, oh, they just like to

40:47

spend time with you. No, no, no. They

40:49

have a big list of check checklist to go

40:51

through. I mean, they need to do

40:53

physical due diligence. They need to see

40:54

you in person. They need to really

40:56

understand the risk management that you

40:57

apply, the operation, the uh investment

41:00

due diligence, operation due diligence.

41:02

And also they want to hear the way you

41:04

think about markets. So they need to

41:06

really follow in some cases they have

41:09

some you know track record requirements

41:12

as well like you need to have 18 months

41:13

or three years but basically you need to

41:16

be prepared to share with them share

41:19

share share and also ask for nothing

41:21

back that's the most important thing you

41:24

are developing relationships and these

41:25

relationships will take years on average

41:28

until they turn into something if they

41:31

turn into something by the way um and I

41:34

think a lot of people are prepared for

41:36

this. They also think that they start

41:38

they have a good year and then

41:39

everything is going to sort out by

41:42

itself you know because everybody can

41:43

see I have a good year so why are not

41:44

are they not investing well I'm sorry

41:47

but they need to know your process your

41:50

team they need to get to know you and

41:52

this takes time so

41:55

the financial side of launching is also

41:57

very important I think because the um

42:00

runway that you need to be able to have

42:02

with your team is needs to be very big

42:05

very very long and this is also by the

42:07

way something that investors care about

42:09

especially in the early stages they

42:10

really want to know you know for how

42:12

long can you carry on here credibly

42:14

because otherwise we don't have a

42:15

business case to invest in you in the

42:17

first place so these are the things that

42:19

there is no handbook for launching a

42:22

fund uh and these are things you only

42:24

learn by experience uh it's a fantastic

42:27

experience to build a business I mean

42:29

like you really learn all the possible

42:31

angles that you can imagine

42:33

challenge is that you not only have to

42:34

do that but you also have to think about

42:36

your strategy and run your book etc. So

42:38

it is very very intense.

42:40

How do you structure your now this might

42:43

be a a big question but how do you

42:45

structure your life to where you can

42:47

think about those two aspects of

42:49

Palanuro extremely clearly

42:53

life my life is a mess no I'm just

42:56

joking um so look I am the anti-

43:00

optimizer

43:02

routine guy okay I was born in southern

43:05

Italy we wake up when the alarm whenever

43:08

the sun goes up uh you know it's frankly

43:12

you need to be very effective. That's

43:13

what you need to think about. Your time

43:15

needs to be attributed in a specific and

43:17

very intentional way. Uh also you need

43:20

to delegate. Delegate very hard. You

43:22

need to have great people around you or

43:24

otherwise you won't be able to follow

43:27

all the angles appropriately. Uh so this

43:30

is those those things are not

43:32

negotiable. You need to be very

43:33

effective with your time. uh you need to

43:36

spend the right amount of time into

43:37

things that you might think are not that

43:39

relevant. For example,

43:41

uh communicating with your investors and

43:44

potential investors. Very very

43:46

important. You need to spend time there.

43:48

That means you will have less time than

43:50

you think probably to look every single

43:52

minute at the market. First of all, I

43:55

would advise people not to look every

43:56

single minute at the market unless they

43:57

are high frequency traders, but for us

44:00

it doesn't really fit anyway. But that

44:02

means you need to be able to delegate.

44:03

you need to delegate and you need to

44:05

have a smart and trusted team around you

44:08

and then your day will be in general

44:11

pretty long. I have to say that also has

44:14

to do with time zones. I mean uh one of

44:16

the beauty of um the world we're in is

44:19

that it's globally connected now. So

44:22

before it I imagine that it used to be

44:24

quite hard to get somebody from Asia or

44:27

some other continent to speak to you and

44:29

these days it's equally easy to get

44:31

somebody from Asia or New York to speak

44:32

to you. Time zones are also something.

44:35

So it's long days. Um but frankly the

44:40

other most important thing is you need

44:41

to be very very very passionate about

44:43

this. And again people hear passionate

44:45

about oh yeah of course I like to manage

44:47

money and think about strategies. Yes,

44:49

but that's maybe 30 to 40% of the job.

44:52

The remaining 50 to 60% of the jobs is

44:54

make sure the organization is

44:57

structured, the ops are running and that

44:58

you're talking to your investors,

45:00

potential and actual investors. And this

45:03

part I think is very very much

45:05

underestimated.

45:07

>> I love the anti-optimization

45:11

and the just do it bro mentality. Um and

45:16

what you said about just loving the

45:18

game, right? Um because I think all

45:21

those things there's so much status

45:23

associated with saying I'll wake up do

45:25

this you know comprehensive routine to

45:27

maximize a particular aspect of the way

45:30

my brain's working right and then on the

45:33

other end what you said about actually

45:35

loving the work and you giving the

45:37

example of oh yeah I love to manage

45:38

money. Um, I would even push it further

45:41

in that I feel like a lot of people are

45:43

very much just focused on the status of

45:46

certain jobs, right? Um, especially

45:48

hobbyists. I'll let you rant. Go on.

45:50

What did you want to say?

45:52

>> No, but there is no status. I mean,

45:53

what's the status? The status is you're

45:55

a grinder. You you are basically like on

45:57

a hamster wheel. There's no status,

45:59

guys. I mean, let's be honest here. What

46:01

you're trying to do is build something

46:03

that maybe in five to 10 years, maybe in

46:06

five to 10 years will look like

46:09

something that is an organization where

46:11

you can focus exactly on the part of the

46:14

business that you like the most. Could

46:16

be that you are better at uh or you are

46:19

more happy looking at markets and

46:22

thinking about investment framework and

46:23

risk better. Might be you're happier in

46:25

managing people and processes. I don't

46:27

know what type of person are you. Uh but

46:29

it's going to take a long time anyway.

46:31

In the meantime, there is no status. I

46:33

am sorry. There's just a lot of work. Uh

46:37

you have to uh juggle in the air a lot

46:39

of balls at the same time. And it's it

46:42

looks very glamorous from the outside.

46:44

But there is nothing glamorous. There is

46:46

a fiduciary responsibility by the way uh

46:48

that you have to fulfill. There is a

46:51

business you're trying to build. There

46:52

is communication with investors. There's

46:54

operations to be taken care of. And I

46:57

think the business side of things is

46:58

very underestimated

47:00

>> for emerging managers who are listening

47:03

to this podcast right now who

47:07

say manage their own money thinking

47:09

about launching a fund not exactly sure.

47:13

Can you give a picture into the worst

47:16

day you've had on the job to to to paint

47:21

I guess to paint a picture in their

47:23

heads about you know if they hear that

47:26

and say I still want to do it then maybe

47:28

this is for them but if they hear that

47:30

and go absolutely not for me I guess can

47:32

you can you paint a picture into that?

47:37

W

47:38

yeah I mean first of all is

47:42

I know that it's very hard to convey

47:46

degrees of emotions to people but I

47:49

would say this is one of the things

47:50

where you really need to think very hard

47:52

about whether you want to do this or

47:53

not. The financial runway necessary is

47:55

also very very big. So you have to be

47:59

very comfortable either with risk as a

48:02

person that means the people around you

48:04

have to be comfortable with risk as well

48:06

or otherwise you have to have specific

48:08

features and requirements to be able to

48:10

try. By the way there are um public

48:13

statistics uh something like 80% of the

48:17

funds fail in the first five years.

48:20

80% 80. So you know you're odds are not

48:24

looking very good I would say for this

48:26

but in general so if you're thinking

48:28

about it take this statistic into into

48:30

perspective

48:32

and then

48:34

I mean there will be during the launch

48:36

phase which I would recommend it's

48:40

minimum one year um there will be

48:42

periods where you think that you're not

48:45

going to be able to do it. I mean I

48:48

shared as well uh on LinkedIn this is

48:50

something interesting by the way I get a

48:52

lot of feedback on this like oh but I

48:54

mean you're sharing the journey like

48:56

every step of the way or almost every

48:58

step of the way yes I mean there is

49:01

including the moments where I thought I

49:03

was not going to make it um there is a

49:05

moment somewhere

49:07

summer 2025 so somewhere halfway uh the

49:12

launch period where it was looking like

49:14

we're not going to make it we were not

49:15

going going to have enough um investors

49:18

at the door to make this a financially

49:20

viable project in the first place.

49:23

So what do you do? I don't know. You can

49:26

just keep fighting and hope that

49:29

ultimately by I mean it's all about uh

49:32

communication like if you have people

49:33

having cold feet that makes a lot of

49:36

sense to be very honest. If something

49:38

ops goes wrong when you're trying to

49:40

launch that also is possible but it's

49:45

it's an endeavor where you have to

49:46

assume the probability of failing is

49:48

very high frankly and I know this

49:50

doesn't sound extremely motivational but

49:53

I think my job my job my the way I live

49:58

my life is I am extremely honest and

50:00

transparent about everything and if you

50:02

ask me the question Ethan then I'm going

50:04

to tell you that it's a very low

50:06

probability of of uh of succeeding

50:08

effort and also

50:11

you go into this you have to know that

50:13

your distribution of riskreward is very

50:16

skewed against you. Um and also you have

50:19

to know that assuming you succeed a lot

50:20

of the work that comes after is not what

50:23

you think it is. It is not only managing

50:25

the book and thinking about what

50:27

fantastic investments I'm going to be

50:28

making. That's a relatively small part

50:31

of the job.

50:32

>> Wow. Very encouraging.

50:35

[laughter]

50:37

Hey, there is also the positive side of

50:38

things as I say. I mean the more you

50:40

develop um there's a lot of path

50:42

dependency by the way. I mean uh the way

50:46

you start is very important which is

50:48

completely random. Of course there is

50:50

variability of of performance. I even if

50:52

you have a sharp ratio of three there is

50:54

a chance that in the first six months

50:55

you have a draw down. I mean it's just

50:57

the variability of returns right yet it

50:59

is very important. It's very path

51:01

dependent I think in the beginning like

51:03

you you have to be lucky I guess to a

51:06

certain extent that you start well if

51:08

you start well then you have momentum

51:09

that generally helps I would say the

51:11

overall thing uh the real satisfaction

51:14

that comes out of this is the

51:18

ability to build and shape something of

51:22

your own. So that means the strategy is

51:23

effectively decided and agreed with uh

51:26

your investors but you don't have any

51:27

external stakeholders from that

51:29

perspective. You have to have make sure

51:30

that you have an aligned LP base of

51:32

course with the uh with the strategy. Uh

51:38

you can shape it the way you imagine it

51:41

which is just an amazing feeling to be

51:43

very honest compared to sitting as an

51:45

employee at a multi-manager. It's not

51:48

bad but it's a very different experience

51:50

probably from this one. So, and it's the

51:53

journey. You have to love the journey,

51:54

man. If you don't love the journey, then

51:57

frankly, don't even try. Uh, but the

51:59

journey is very fun. You learn a lot.

52:01

Your learning curve is very steep both

52:03

on markets and on business building and

52:06

on how the industry works. So, it's also

52:09

very nice to be honest. But the to get

52:11

to the nice part, it's a nightmare. I

52:13

mean, there's no way around this

52:16

>> in building Palinuro.

52:19

And I actually think I should have

52:20

phrased my question about how do you

52:22

structure your life um more like this

52:24

because this is the question I really

52:26

more so wanted to ask. How do you

52:28

maintain clarity of thinking? What with

52:32

regard to

52:34

idea generation, bet sizing? Yeah. How

52:37

do you maintain clarity there when you

52:40

also have to think about communicating

52:42

to investors ops? All of which, as

52:45

you've said, is at least 50, you know,

52:49

at least 60% of of the game.

52:52

>> Mhm. Yeah. Well, as I said before, you

52:55

can't do this alone. You have to have a

52:57

team of people that are very well versed

52:59

into the process. By the way, they're

53:00

improving the process every week because

53:02

you always find out something that

53:04

hasn't worked or can be improved.

53:06

uh if you're thinking about just being a

53:08

oneman shop and and launching this,

53:10

there are ways that you can do this, but

53:12

I would think this is very suboptimal

53:14

and not scalable over time. Um

53:18

again, if you're only a portfolio

53:19

manager, then yeah, probably that's

53:22

easier. Uh but if you are in the

53:24

business uh of building, then it's

53:26

completely different. So you also have

53:29

to understand that um there are

53:31

different line of business to be

53:33

allocated. There is uh let's say the the

53:36

managing of the investments and the

53:38

risk. There is the uh operation part,

53:41

there is the regulatory part, there is

53:43

the uh investor relations part. I can go

53:45

on and on. So you should think about

53:47

this in general as a business with many

53:49

different functions while people tend to

53:52

think about just one function. If you

53:54

talk about uh fund and fund management

53:56

then generally people think it's only

53:57

one. It's only you know the most

53:59

glamorous thing that they can imagine.

54:01

that I have to, you know, bring people

54:03

back to reality. It's absolutely not

54:05

only about that.

54:06

>> If you were to go back to the day you

54:10

decided you were going to launch a fund

54:12

uh to found the day you decided you were

54:15

going to found Palonuro,

54:18

what would you have done differently?

54:20

>> I mean, there are a few things that I

54:22

would have done, but the problem is that

54:23

you need to have the financial resources

54:25

to do them. So that's this is it's

54:28

always like um I hear sometimes or I see

54:31

oh XYZ launched the fund and then you

54:33

basically realize it was a gigantic

54:34

family office with you know a lot of

54:37

wealth sitting in there. Yeah. Okay. But

54:39

that's obviously you have much more

54:41

alternatives at that point right you can

54:42

basically choose you have much more

54:44

capital to put through the launch. So it

54:46

really depends from your uh I would say

54:50

initial situation. My case I think

54:52

overall it went pretty fine. Uh so I'm

54:56

I'm not sure that there will be big

54:58

things that I could have done in the

55:00

sense that I had the material

55:01

opportunity to do them differently. Um

55:06

it is even in my case where you can say

55:09

oh this was effectively successful.

55:13

You still have to uh

55:17

you still have to expect a very rocky

55:19

path to get there. uh and also frankly I

55:22

mean there is an answer to this question

55:23

Ethan but it depends from how much

55:25

capital do you have to put through the

55:26

launch so there are different levels of

55:30

uh you know spending power that you have

55:32

through a launch it really depends from

55:33

your situation in the broad uh thing

55:37

that I would like to say is there is

55:40

never enough prep work guys for this

55:42

there is never enough prep work one

55:44

thing for example you can talk to more

55:46

consultants more law firms more service

55:49

providers how How many did you did you

55:51

talk to? Five, talk to 10. Because there

55:54

is there is no handbook on how to do

55:56

this. Which means you have to gather

55:58

intelligence yourself. And the more you

56:00

speak to service providers or other

56:01

people that have gone through the same

56:03

rocky path, the more information you

56:05

will have to make sure you avoid costly

56:08

mistakes. Basically,

56:10

>> learning by motion. I imagine that's

56:12

what it is, right? Just doing more of

56:14

the thing.

56:15

>> Yeah. Yeah. I would have never imagined

56:18

to know the amount of things I know

56:20

about ops and other things that I know

56:22

now. But it is as well I was I knew that

56:25

it was going to involve a lot of that

56:26

but I was massively underestimated the

56:28

amount of effort that takes into that

56:30

hiring as well. I mean like the people

56:32

that you choose to be part of your team

56:34

basically can't make any mistakes. You

56:37

just can't. It's impossible because in

56:39

that phase, in the initial phase, which

56:41

by the way lasts at least three to four

56:43

years before you start to maybe become a

56:45

more mature business, wow, the the human

56:48

capital, it's it's everything. If you

56:51

make one mistake in hiring, you are job

56:53

dies in your business. Seriously. So,

56:55

yeah, that's something else to pay a lot

56:57

of attention to.

56:58

>> How do you hire great people when in the

57:01

early stages you just don't have the

57:02

budget that the large multi-managers do,

57:05

large hedge funds do? Yeah, correct. I

57:09

mean, that's the

57:11

how can I answer this question? I mean,

57:13

in general, you have to have people that

57:15

want to work with you, not for you, with

57:18

you. And that's the most important

57:19

thing. You need to be able to inspire

57:22

them towards a common mission. You need

57:24

to align incentive schemes, by the way,

57:26

because people don't pay their bills

57:27

with inspiration. They pay the bills

57:29

with the actual alignment of dollar

57:32

incentive schemes.

57:34

Uh, yeah. And you have to be able to

57:36

have qualitative uh hiring skills which

57:40

basically means you have to try and get

57:44

a prototype of the type of person that

57:46

you want to hire. So who is this person?

57:49

In our case, for example, we prefer

57:52

people that have a background

57:55

growing up or having family with roots

57:59

uh in places where the GDP per capita is

58:01

not higher than $30,000 a year. So why

58:04

is that? Because people that grow up or

58:08

families that grew up in these places in

58:10

general, they tend to give an education

58:13

and experiences to young kids that are

58:18

in general about

58:21

um doing 110%

58:24

to get what you deserve. You have to

58:26

work very hard in places where GDP per

58:28

capita is lower, unemployment rate is

58:30

higher.

58:31

You have to have an extra gear. You have

58:34

to really go for it. It's much harder.

58:37

It's much more competitive. So, you're

58:38

shaped in uh in in working hard and also

58:43

in in having an empathetic attitude in

58:45

trying to help the other person because

58:48

it's generally speaking those are less

58:50

individualistic um cultures. There is

58:53

not always a one-on-one correlation, but

58:55

it can happen that places that have a

58:57

lower GDP per capita tend to be places

58:59

where people are more empathetic. They

59:01

are more uh they work hard, they're

59:04

friendly, they try to connect with other

59:08

people. So, we have found this to be a

59:10

pretty good principle. Doesn't mean

59:12

we're not going to hire somebody that

59:13

grew up in Swinton. I mean there's

59:14

nothing bad about that don't get me

59:16

wrong but it's uh just one qualitative

59:20

thing that generally tends to uh resound

59:24

well with my soft values but everyone

59:27

should have its own hiring framework but

59:30

there should be a hiring framework

59:33

that's not something I've ever heard

59:35

before but I'm thinking about it now and

59:38

I look at the large multi-manager hedge

59:40

funds and their culture is built their

59:43

business is built to thrive in a place

59:45

like the US, right? Where it's truly a

59:48

dog eat dog environment where it's

59:52

performers

59:53

get rewarded and get hailed as almost

59:56

these kings, these titans of finance and

59:59

if you don't perform, you're nobody,

60:02

right? I walk around New York and you

60:05

know I won't say the name of the

60:06

celebrity but I was in the subway with

60:08

friends and I saw you know model top

60:12

model who you know everyone would know

60:14

or recognize and homeless man in the

60:17

same um in the same car subway car and I

60:20

was just thinking to myself wow this is

60:22

truly the city of extremes the US is the

60:26

country of extremes the nation of

60:28

extremes and I think that it allows

60:30

these businesses to thrive whereas I

60:32

don't think the type of model would work

60:33

in in another place where the culture

60:35

isn't wired that way.

60:38

>> I think you're right. Um,

60:41

in general, I'm not here to make a

60:43

judgment on whether the New York or

60:45

London or whatever it is model is better

60:48

or worse than any other. But it is a

60:51

specific model where you need a specific

60:53

type of personality to fit very well in

60:55

that model. If you are building a

60:58

business,

61:00

I I'm not sure that that type of

61:02

personality will be the best fit. I

61:04

would say in general, you need to have

61:07

people around you that are willing to do

61:09

everything necessary. I mean, we

61:11

literally screwed our own uh desks. I

61:15

mean, I'm sorry, but it needs to be

61:17

done. Somebody got to do it, so well, we

61:20

just do it ourselves. I mean, you need

61:23

uh this type of hands-on attitude. You

61:24

need people that are

61:27

willing to go the extra mile without

61:30

making, you know, some sort of extra

61:33

effort or holding above your head that

61:35

they are, you know, working and setting

61:38

up their chair and their desk by

61:39

themselves. It's just part of the job,

61:41

guys. I mean, and girls, in the

61:43

beginning, it's effectively a startup. I

61:45

mean, what I'm describing is a startup.

61:47

And there is nothing different between

61:49

trying to launch a founder, launch a

61:51

startup. It's pretty much the same. you

61:53

have to launch a business from scratch,

61:55

which means you probably want fully

61:56

motivated, fully aligned people with

61:58

specific personality traits. And I'm not

62:01

saying that the perhaps more

62:03

individualistic or as you call it doggy

62:05

dog uh mentality is worse or better.

62:08

It's just one mentality. We prefer a

62:10

different type of approach. But

62:12

generally speaking, there needs to be a

62:13

hiring framework. You need when you

62:15

hire, you need to be very intentional

62:16

about what profile of person are you

62:18

want to are you trying to bring on

62:20

board.

62:22

>> Yeah. And I guess if you mix the the

62:24

different types of personalities and

62:26

cultures, that can really create

62:29

misalignment. I mean, I'm thinking you

62:31

bring the standard New Yorker Ivy League

62:33

high performer who most most definitely

62:36

is a high performer and you mix that

62:38

into a culture where people are more,

62:41

you know, care more about each other,

62:42

more empathetic. Um, yeah, I don't think

62:45

it would work the same way. Um, and

62:49

>> you know,

62:49

>> nothing nothing bad about you guys

62:51

listening from New York by the way. It

62:53

is just

62:54

>> it's there's nothing and by the way it's

62:55

a very big generalization. I mean there

62:57

will be people in New York that also fit

62:59

this type of different approach. Um, in

63:02

general I want people to understand you

63:03

need to be very intentional about hiring

63:05

the way you need to be very aware of

63:08

your time being spent on investment as

63:11

as much as your time being spent on

63:13

other type of endeavors. the runway you

63:16

need to have. This is something Claudia

63:18

also talked about in your prior episode.

63:21

These are all very very relevant things

63:23

to know in case you're thinking about uh

63:26

taking on this very

63:29

low uh probability of success endeavor

63:33

we are discussing today.

63:34

>> Last question. you have a pretty call

63:38

that's more unorthodox background in

63:40

that you're in media and then launched a

63:43

fund and all I mean having worked at the

63:45

bank then launched a fund um and now

63:47

hopefully growing that fund and um and

63:50

and constructing your port constructing

63:52

your portfolio of macro bets uh you know

63:55

if someone wants to sit in your seat

63:59

let's say 20 years time right or 10

64:01

years let's say they can do let's say

64:03

they can do it quickly you know even

64:04

though you've said you takes a long time

64:07

to do things and to learn. Let's say

64:09

they can do it quickly. To a young

64:11

person who wants to sit in your seat,

64:13

what advice would you give them? Uh yeah

64:16

there is a clear advice that probably

64:18

they haven't heard yet which is that

64:22

you might be very smart or very

64:25

successful in whatever technical things

64:28

that you are studying or you're doing

64:31

but if you're not able to communicate

64:33

properly you're going nowhere. You're

64:36

absolutely going nowhere. So the amount

64:39

of time that I spend still every week

64:42

and every month intentionally on trying

64:44

to improve my communication skills,

64:48

it's it's very high. And the reason why

64:50

is that you might have the best ideas.

64:53

Not that I have them, but you might have

64:55

the best ideas. You might be very

64:57

technically oriented and very

64:58

technically smart, but at the end of the

65:01

day, you need to be able to talk to

65:02

people and show them what you're doing

65:04

and show them why they're supposed to

65:05

look at you rather than someone else.

65:08

This is a world where also sharing not

65:11

only on the sales side, but also sharing

65:13

value with people is very important. To

65:17

share value, you might have a great

65:18

idea, but if you're not able to

65:20

communicate it properly, then it's not

65:22

worth as much the same idea. So if I

65:26

were a young guy or girl, I would be

65:29

very intentional about improving my

65:31

communication skills. And it's a very

65:33

broad area. It means presenting or as I

65:37

like to say performing rather than

65:39

presenting because presentation seem

65:40

like these things where there's a

65:41

PowerPoint and you read the PowerPoint

65:44

aloud. I'm sorry. Sorry. No, no, no, no.

65:46

We're talking about we're talking about

65:49

storytelling. We're talking about being

65:51

able to engage with your audience. We're

65:53

talking about intentionally thinking

65:55

about what are you going to talk about

65:56

and how are you going to convey the

65:58

message.

66:00

These things are equally important to

66:03

succeed in any business to be honest,

66:06

not only in this one as your technical

66:08

skills are. I know this sounds a bit

66:10

crazy but it is the case.

66:12

>> Yeah. And I'll I'll end things Yeah. I

66:14

think that's great advice and I'll end

66:15

things with a quote from Ken Griffin. Um

66:18

if we're all going to eat, someone has

66:20

to sell. Thank you very much for coming

66:22

on the podcast, Al.

66:24

>> We'll be back soon, I hope. Maybe in a

66:26

year or so.

Interactive Summary

The speaker provides insights into macro investing and the complexities of launching a hedge fund. He challenges concentrated investment strategies, emphasizing the importance of true diversification and a rigorous risk management process, including a "handbrake" approach for unexpected market shocks. A core aspect of his investment edge is a deep understanding of how commercial banks and governments, rather than central banks, create "real economy money," and tracking its acceleration for predicting market trends. He details the demanding process of founding a fund, stressing the need for extensive preparation, a robust team, a long financial runway, and entrepreneurial skills beyond portfolio management. Crucially, the speaker highlights communication skills as paramount for success in the financial world.

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